AI Medical Compendium

Host-specific fluorescence dynamics in legume-rhizobium symbiosis during nodulation.

Applied and environmental microbiology Jan 16, 2026

UNLABELLED: The legume-rhizobium symbiosis is a cornerstone of sustainable agriculture due to its ability to facilitate biological nitrogen fixation. Still, real-time visualization and quantification of this interaction remain technically challenging... read more

AminoacidDB: a liquid chromatography-tandem mass spectrometry-based toolkit for the untargeted analysis of non-protein amino acids.

The Analyst Jan 16, 2026

Non-protein amino acids (npAAs) are produced by microbes, plants and humans, with previous estimates suggesting that there are ≈1000 of such metabolites. Most of the npAAs were discovered as human toxins, intermediates in metabolism and byproducts of... read more

Cancer genome profiling in sarcomas: current status and future perspectives in Japan.

Expert review of anticancer therapy Jan 16, 2026

INTRODUCTION: Sarcomas are rare, molecularly diverse malignancies that challenge accurate diagnosis and effective therapy. Japan has implemented nationwide comprehensive cancer genomic profiling (CGP) since 2019, creating an integrated framework that... read more

Floral syndromes in Aquilegia (Ranunculaceae) are associated with nectar- but not pollen-collecting pollinators.

Annals of botany Jan 16, 2026

BACKGROUND AND AIMS: Plant-pollinator interactions span a continuum from strict specialisation to generalisation and most flowers are visited by more than a single functional group of pollinators. However, one functional group might be more efficient... read more

Japan Brain Bank Net (JBBN).

Psychiatry and clinical neurosciences Jan 16, 2026

Autopsies have long been performed to determine the cause of death in the medical field. In fact, autopsies have significantly contributed to our understanding of neurological and psychiatric disorders. Patients and their families who wish to donate ... read more

Biologically informed cortical models predict optogenetic perturbations.

eLife Jan 16, 2026

A recurrent neural network fitted to large electrophysiological datasets may help us understand the chain of cortical information transmission. In particular, successful network reconstruction methods should enable a model to predict the response to ... read more

Neural Networks, Computer Animals Mice Models, Neurological Neurons Cerebral Cortex Nerve Net Optogenetics

Multisequence MRI Enables High-Fidelity FDG-PET Synthesis for Epilepsy Using GANs.

Journal of magnetic resonance imaging : JMRI Jan 16, 2026

BACKGROUND: FDG-PET aids presurgical epilepsy evaluation but is limited by access and radiation exposure. PURPOSE: To evaluate synthetic FDG-PET generated from T1-weighted imaging and resting-state fMRI metrics. STUDY TYPE: Retrospective. POPULATION:... read more

Artificial Intelligence-Assisted Clinical Decision Model for Managing Retained Second Deciduous Molars With No Permanent Successors.

Orthodontics & craniofacial research Jan 16, 2026

INTRODUCTION: The aim of this study was to develop and apply an artificial intelligence (AI) algorithm to aid the clinical decision-making process for managing mandibular retained second deciduous molars (SDM) with no permanent successors using machi... read more

Multi-Task Feedforward Neural Networks for Thermodynamic Property Prediction under Small Sample Sizes.

The journal of physical chemistry. A Jan 16, 2026

Reliable explosion modeling requires accurate thermodynamic properties of hazardous chemicals, yet the scarcity of experimental data highlights the urgent need for predictive approaches to bridge this critical gap. In recent years, machine learning-a... read more

Attitudes of psychiatric nurses towards the integration of artificial intelligence applications to clinical care: a qualitative study in China.

BMC nursing Jan 16, 2026

BACKGROUND: The application of artificial intelligence in mental health faces unique challenges. Psychiatric nurses provide direct care to patients with mental illness, and their attitudes toward artificial intelligence will directly impact the effec... read more

Artificial Intelligence Medical Compendium